phi_tuned_test_2
Browse files- README.md +57 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +13 -0
- all_results.json +8 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +132 -0
- train_results.json +8 -0
- trainer_state.json +560 -0
- training_args.bin +3 -0
README.md
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---
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base_model: microsoft/Phi-3-mini-4k-instruct
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library_name: transformers
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model_name: checkpoint_dir
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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# Model Card for checkpoint_dir
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="Nataliia767567/checkpoint_dir", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/natalipolyakovska-softserve/huggingface/runs/yvb3ur2f)
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.12.0
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- Transformers: 4.47.1
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- Pytorch: 2.2.2
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- Datasets: 3.2.0
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- Tokenizers: 0.21.0
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_up_proj",
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"qkv_proj",
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"o_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:74ce2fbc41bc69790ea9644f323017a90ad9adcb5b575a800c80dcea1e33c770
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size 100697728
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added_tokens.json
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{
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"<|assistant|>": 32001,
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"<|endoftext|>": 32000,
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"<|end|>": 32007,
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"<|placeholder1|>": 32002,
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"<|placeholder2|>": 32003,
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"<|placeholder3|>": 32004,
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"<|placeholder4|>": 32005,
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"<|placeholder5|>": 32008,
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"<|placeholder6|>": 32009,
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"<|system|>": 32006,
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"<|user|>": 32010
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}
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all_results.json
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{
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"epoch": 3.0,
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"total_flos": 6.836552056302797e+16,
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"train_loss": 0.8824553647025266,
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"train_runtime": 1815.9955,
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"train_samples_per_second": 3.271,
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"train_steps_per_second": 0.818
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<unk>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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"add_bos_token": false,
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| 3 |
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"add_eos_token": false,
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| 4 |
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"add_prefix_space": null,
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| 5 |
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"added_tokens_decoder": {
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| 6 |
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"0": {
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| 7 |
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"content": "<unk>",
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"lstrip": false,
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| 9 |
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"normalized": false,
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| 10 |
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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| 14 |
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"1": {
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"content": "<s>",
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"lstrip": false,
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| 17 |
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"normalized": false,
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| 18 |
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"rstrip": false,
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| 19 |
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"single_word": false,
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| 20 |
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"special": true
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| 21 |
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},
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| 22 |
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"2": {
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| 23 |
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"content": "</s>",
|
| 24 |
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"lstrip": false,
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| 25 |
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"normalized": false,
|
| 26 |
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"rstrip": true,
|
| 27 |
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"single_word": false,
|
| 28 |
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"special": false
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| 29 |
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},
|
| 30 |
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"32000": {
|
| 31 |
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"content": "<|endoftext|>",
|
| 32 |
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"lstrip": false,
|
| 33 |
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"normalized": false,
|
| 34 |
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"rstrip": false,
|
| 35 |
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"single_word": false,
|
| 36 |
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"special": true
|
| 37 |
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},
|
| 38 |
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"32001": {
|
| 39 |
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"content": "<|assistant|>",
|
| 40 |
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"lstrip": false,
|
| 41 |
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"normalized": false,
|
| 42 |
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"rstrip": true,
|
| 43 |
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"single_word": false,
|
| 44 |
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"special": true
|
| 45 |
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},
|
| 46 |
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"32002": {
|
| 47 |
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"content": "<|placeholder1|>",
|
| 48 |
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"lstrip": false,
|
| 49 |
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"normalized": false,
|
| 50 |
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"rstrip": true,
|
| 51 |
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"single_word": false,
|
| 52 |
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"special": true
|
| 53 |
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},
|
| 54 |
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"32003": {
|
| 55 |
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"content": "<|placeholder2|>",
|
| 56 |
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"lstrip": false,
|
| 57 |
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"normalized": false,
|
| 58 |
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"rstrip": true,
|
| 59 |
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"single_word": false,
|
| 60 |
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"special": true
|
| 61 |
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},
|
| 62 |
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"32004": {
|
| 63 |
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"content": "<|placeholder3|>",
|
| 64 |
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"lstrip": false,
|
| 65 |
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"normalized": false,
|
| 66 |
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"rstrip": true,
|
| 67 |
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"single_word": false,
|
| 68 |
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"special": true
|
| 69 |
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},
|
| 70 |
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"32005": {
|
| 71 |
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"content": "<|placeholder4|>",
|
| 72 |
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"lstrip": false,
|
| 73 |
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"normalized": false,
|
| 74 |
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"rstrip": true,
|
| 75 |
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"single_word": false,
|
| 76 |
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"special": true
|
| 77 |
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},
|
| 78 |
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"32006": {
|
| 79 |
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"content": "<|system|>",
|
| 80 |
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"lstrip": false,
|
| 81 |
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"normalized": false,
|
| 82 |
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"rstrip": true,
|
| 83 |
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"single_word": false,
|
| 84 |
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"special": true
|
| 85 |
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},
|
| 86 |
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"32007": {
|
| 87 |
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"content": "<|end|>",
|
| 88 |
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"lstrip": false,
|
| 89 |
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"normalized": false,
|
| 90 |
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"rstrip": true,
|
| 91 |
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"single_word": false,
|
| 92 |
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"special": true
|
| 93 |
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},
|
| 94 |
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"32008": {
|
| 95 |
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"content": "<|placeholder5|>",
|
| 96 |
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"lstrip": false,
|
| 97 |
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"normalized": false,
|
| 98 |
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"rstrip": true,
|
| 99 |
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"single_word": false,
|
| 100 |
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"special": true
|
| 101 |
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},
|
| 102 |
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"32009": {
|
| 103 |
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"content": "<|placeholder6|>",
|
| 104 |
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"lstrip": false,
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| 105 |
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"normalized": false,
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| 106 |
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"rstrip": true,
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| 107 |
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"single_word": false,
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| 108 |
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"special": true
|
| 109 |
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},
|
| 110 |
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"32010": {
|
| 111 |
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"content": "<|user|>",
|
| 112 |
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"lstrip": false,
|
| 113 |
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"normalized": false,
|
| 114 |
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"rstrip": true,
|
| 115 |
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"single_word": false,
|
| 116 |
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"special": true
|
| 117 |
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}
|
| 118 |
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},
|
| 119 |
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"bos_token": "<s>",
|
| 120 |
+
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
|
| 121 |
+
"clean_up_tokenization_spaces": false,
|
| 122 |
+
"eos_token": "<|endoftext|>",
|
| 123 |
+
"extra_special_tokens": {},
|
| 124 |
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"legacy": false,
|
| 125 |
+
"model_max_length": 2048,
|
| 126 |
+
"pad_token": "<unk>",
|
| 127 |
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"padding_side": "left",
|
| 128 |
+
"sp_model_kwargs": {},
|
| 129 |
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"tokenizer_class": "LlamaTokenizer",
|
| 130 |
+
"unk_token": "<unk>",
|
| 131 |
+
"use_default_system_prompt": false
|
| 132 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
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| 1 |
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{
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| 2 |
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"epoch": 3.0,
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| 3 |
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"total_flos": 6.836552056302797e+16,
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"train_loss": 0.8824553647025266,
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"train_runtime": 1815.9955,
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"train_samples_per_second": 3.271,
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"train_steps_per_second": 0.818
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| 8 |
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}
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trainer_state.json
ADDED
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@@ -0,0 +1,560 @@
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training_args.bin
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@@ -0,0 +1,3 @@
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